Senior Performance Engineer

Remote • Posted 18 hours ago • Updated 1 hour ago
Contract W2
8 Months
Remote
Depends on Experience
Fitment

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Job Details

Skills

  • LoadRunner Enterprise (LRE)
  • JMeter
  • Gatling
  • Google Cloud Platform (GCP)
  • Performance Engineering
  • Performance Testing
  • cloud-native architectures
  • microservices
  • APIs
  • distributed systems

Summary

Senior Performance Engineer (Google Cloud Platform)
  • W2 Only role.
  • Candidates must be authorized to work in the United States.
  • Sponsorship is not available for this position.
Summary

We are seeking an experienced Performance Lead to drive the strategy, testing, and optimization of cloud-native applications hosted on Google Cloud Platform (Google Cloud Platform). This role will lead performance engineering initiatives, identify system bottlenecks, optimize high-volume transactions, and ensure scalable, high-performing applications. The ideal candidate will have strong leadership experience, deep expertise in performance testing, and excellent communication skills.

Key Responsibilities
  • Define and execute the performance testing and optimization strategy for cloud-native applications on Google Cloud Platform.
  • Analyze and optimize high-volume transactions, microservices, APIs, and database performance.
  • Perform statistical analysis on performance data to identify trends, bottlenecks, and capacity constraints.
  • Lead and mentor a team of 4 5 Performance Engineers, providing technical guidance and best practices.
  • Design and execute performance, load, stress, endurance, and scalability testing.
  • Analyze application, infrastructure, and database performance using observability and monitoring tools.
  • Present performance findings, risks, and recommendations to technical teams and executive stakeholders.
  • Collaborate with development, DevOps, cloud, and architecture teams to improve application performance.
Required Qualifications
  • 10+ years of experience in Performance Engineering and Performance Testing.
  • Expert knowledge of Google Cloud Platform (Google Cloud Platform) performance tuning and observability.
  • Hands-on experience with LoadRunner Enterprise (LRE), JMeter, or Gatling.
  • Strong understanding of cloud-native architectures, microservices, APIs, and distributed systems.
  • Experience analyzing large performance datasets and identifying optimization opportunities.
  • Proven leadership experience managing or mentoring performance engineering teams.
  • Excellent verbal and written communication skills with experience presenting to senior technical and business stakeholders.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10439527
  • Position Id: 9026865
  • Posted 18 hours ago
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